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دانلود کتاب R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

دانلود کتاب کتاب آشپزی R: دستور العمل های اثبات شده برای تجزیه و تحلیل داده ها، آمار و گرافیک

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

مشخصات کتاب

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

ویرایش: 2 
نویسندگان:   
سری:  
ISBN (شابک) : 1492040681, 9781492040682 
ناشر: O′Reilly 
سال نشر: 2019 
تعداد صفحات: 601 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 8 مگابایت 

قیمت کتاب (تومان) : 55,000



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توجه داشته باشید کتاب کتاب آشپزی R: دستور العمل های اثبات شده برای تجزیه و تحلیل داده ها، آمار و گرافیک نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.


توضیحاتی در مورد کتاب کتاب آشپزی R: دستور العمل های اثبات شده برای تجزیه و تحلیل داده ها، آمار و گرافیک

https://www.oreilly.com/library/view/r-cookbook-2nd/9781492040675/

تجزیه و تحلیل داده ها را با R به سرعت و کارآمد با بیش از 275 دستور العمل عملی در این نسخه دوم توسعه یافته انجام دهید. زبان R همه چیزهایی را که برای انجام کارهای آماری نیاز دارید فراهم می کند، اما تسلط بر ساختار آن می تواند دشوار باشد. این دستور العمل‌های وظیفه‌محور شما را بلافاصله با R مفید می‌سازد. راه حل ها از وظایف اساسی گرفته تا ورودی و خروجی، آمار عمومی، گرافیک و رگرسیون خطی را شامل می شود. هر دستور غذا به یک مشکل خاص می پردازد و شامل بحثی است که راه حل را توضیح می دهد و بینشی در مورد نحوه عملکرد آن ارائه می دهد. اگر مبتدی هستید، R Cookbook به شما کمک می کند تا شروع کنید. اگر کاربر متوسطی هستید، این کتاب حافظه شما را تقویت می کند و افق های شما را گسترش می دهد. کار را سریع‌تر انجام می‌دهید و در این فرآیند درباره R اطلاعات بیشتری کسب خواهید کرد. ایجاد بردارها، مدیریت متغیرها و انجام توابع اساسی ساده کردن ورودی و خروجی داده‌ها مقابله با ساختارهای داده مانند ماتریس‌ها، فهرست‌ها، عوامل و فریم‌های داده کار با احتمال، توزیع احتمال و متغیرهای تصادفی محاسبه آمار و فواصل اطمینان و انجام آزمون‌های آماری ایجاد یک انواع نمایشگرهای گرافیکی ساخت مدل‌های آماری با رگرسیون خطی و تحلیل واریانس (ANOVA) تکنیک‌های آماری پیشرفته، مانند یافتن خوشه‌ها در داده‌های خود را کاوش کنید.


توضیحاتی درمورد کتاب به خارجی

https://www.oreilly.com/library/view/r-cookbook-2nd/9781492040675/

Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an intermediate user, this book will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform basic functions Simplify data input and output Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data



فهرست مطالب

Cover
Copyright
Table of Contents
Welcome to the R Cookbook, 2nd Edition
	The Recipes
	A Note on Terminology
	Software and Platform Notes
	Other Resources
	Conventions Used in This Book
	Using Code Examples
	O’Reilly Online Learning
	How to Contact Us
	Acknowledgments
Chapter 1. Getting Started and Getting Help
	1.1 Downloading and Installing R
		Problem
		Solution
		Discussion
		See Also
	1.2 Installing RStudio
		Problem
		Solution
		Discussion
	1.3 Starting RStudio
		Problem
		Solution
		Discussion
	1.4 Entering Commands
		Problem
		Solution
		Discussion
		See Also
	1.5 Exiting from RStudio
		Problem
		Solution
		Discussion
		See Also
	1.6 Interrupting R
		Problem
		Solution
		Discussion
		See Also
	1.7 Viewing the Supplied Documentation
		Problem
		Solution
		Discussion
		See Also
	1.8 Getting Help on a Function
		Problem
		Solution
		Discussion
		See Also
	1.9 Searching the Supplied Documentation
		Problem
		Solution
		Discussion
		See Also
	1.10 Getting Help on a Package
		Problem
		Solution
		Discussion
		See Also
	1.11 Searching the Web for Help
		Problem
		Solution
		Discussion
		See Also
	1.12 Finding Relevant Functions and Packages
		Problem
		Solution
		Discussion
		See Also
	1.13 Searching the Mailing Lists
		Problem
		Solution
		Discussion
		See Also
	1.14 Submitting Questions to Stack Overflow or Elsewhere in the Community
		Problem
		Solution
		Discussion
		See Also
Chapter 2. Some Basics
	2.1 Printing Something to the Screen
		Problem
		Solution
		Discussion
		See Also
	2.2 Setting Variables
		Problem
		Solution
		Discussion
		See Also
	2.3 Listing Variables
		Problem
		Solution
		Discussion
		See Also
	2.4 Deleting Variables
		Problem
		Solution
		Discussion
		See Also
	2.5 Creating a Vector
		Problem
		Solution
		Discussion
		See Also
	2.6 Computing Basic Statistics
		Problem
		Solution
		Discussion
		See Also
	2.7 Creating Sequences
		Problem
		Solution
		Discussion
		See Also
	2.8 Comparing Vectors
		Problem
		Solution
		Discussion
		See Also
	2.9 Selecting Vector Elements
		Problem
		Solution
		Discussion
		See Also
	2.10 Performing Vector Arithmetic
		Problem
		Solution
		Discussion
		See Also
	2.11 Getting Operator Precedence Right
		Problem
		Solution
		Discussion
		See Also
	2.12 Typing Less and Accomplishing More
		Problem
		Solution
		Discussion
	2.13 Creating a Pipeline of Function Calls
		Problem
		Solution
		Discussion
	2.14 Avoiding Some Common Mistakes
		Problem
		Discussion
		See Also
Chapter 3. Navigating the Software
	3.1 Getting and Setting the Working Directory
		Problem
		Solution
		Discussion
		See Also
	3.2 Creating a New RStudio Project
		Problem
		Solution
		Discussion
	3.3 Saving Your Workspace
		Problem
		Solution
		Discussion
		See Also
	3.4 Viewing Your Command History
		Problem
		Solution
		Discussion
	3.5 Saving the Result of the Previous Command
		Problem
		Solution
		Discussion
		See Also
	3.6 Displaying Loaded Packages via the Search Path
		Problem
		Solution
		Discussion
		See Also
	3.7 Viewing the List of Installed Packages
		Problem
		Solution
		Discussion
		See Also
	3.8 Accessing the Functions in a Package
		Problem
		Solution
		Discussion
		See Also
	3.9 Accessing Built-in Datasets
		Problem
		Solution
		Discussion
		See Also
	3.10 Installing Packages from CRAN
		Problem
		Solution
		Discussion
		See Also
	3.11 Installing a Package from GitHub
		Problem
		Solution
		Discussion
	3.12 Setting or Changing a Default CRAN Mirror
		Problem
		Solution
		Discussion
		See Also
	3.13 Running a Script
		Problem
		Solution
		Discussion
		See Also
	3.14 Running a Batch Script
		Problem
		Solution
		Discussion
		See Also
	3.15 Locating the R Home Directory
		Problem
		Solution
		Discussion
	3.16 Customizing R Startup
		Problem
		Solution
		Discussion
		See Also
	3.17 Using R and RStudio in the Cloud
		Problem
		Solution
		Discussion
Chapter 4. Input and Output
	4.1 Entering Data from the Keyboard
		Problem
		Solution
		Discussion
		See Also
	4.2 Printing Fewer Digits (or More Digits)
		Problem
		Solution
		Discussion
		See Also
	4.3 Redirecting Output to a File
		Problem
		Solution
		Discussion
	4.4 Listing Files
		Problem
		Solution
		Discussion
		See Also
	4.5 Dealing with “Cannot Open File” in Windows
		Problem
		Solution
		Discussion
	4.6 Reading Fixed-Width Records
		Problem
		Solution
		Discussion
		See Also
	4.7 Reading Tabular Data Files
		Problem
		Solution
		Discussion
		See Also
	4.8 Reading from CSV Files
		Problem
		Solution
		Discussion
		See Also
	4.9 Writing to CSV Files
		Problem
		Solution
		Discussion
		See Also
	4.10 Reading Tabular or CSV Data from the Web
		Problem
		Solution
		Discussion
		See Also
	4.11 Reading Data from Excel
		Problem
		Solution
		Discussion
		See Also
	4.12 Writing a Data Frame to Excel
		Problem
		Solution
		Discussion
		See Also
	4.13 Reading Data from a SAS File
		Problem
		Solution
		Discussion
		See Also
	4.14 Reading Data from HTML Tables
		Problem
		Solution
		Discussion
		See Also
	4.15 Reading Files with a Complex Structure
		Problem
		Solution
		Discussion
		An Example
	4.16 Reading from MySQL Databases
		Problem
		Solution
		Discussion
		See Also
	4.17 Accessing a Database with dbplyr
		Problem
		Solution
		Discussion
		See Also
	4.18 Saving and Transporting Objects
		Problem
		Solution
		Discussion
		See Also
Chapter 5. Data Structures
	5.1 Appending Data to a Vector
		Problem
		Solution
		Discussion
	5.2 Inserting Data into a Vector
		Problem
		Solution
		Discussion
	5.3 Understanding the Recycling Rule
		Problem
		Discussion
	5.4 Creating a Factor (Categorical Variable)
		Problem
		Solution
		Discussion
		See Also
	5.5 Combining Multiple Vectors into One Vector and a Factor
		Problem
		Solution
		Discussion
	5.6 Creating a List
		Problem
		Solution
		Discussion
		See Also
	5.7 Selecting List Elements by Position
		Problem
		Solution
		Discussion
	5.8 Selecting List Elements by Name
		Problem
		Solution
		Discussion
		See Also
	5.9 Building a Name/Value Association List
		Problem
		Solution
		Discussion
	5.10 Removing an Element from a List
		Problem
		Solution
		Discussion
	5.11 Flattening a List into a Vector
		Problem
		Solution
		Discussion
		See Also
	5.12 Removing NULL Elements from a List
		Problem
		Solution
		Discussion
		See Also
	5.13 Removing List Elements Using a Condition
		Problem
		Solution
		Discussion
		See Also
	5.14 Initializing a Matrix
		Problem
		Solution
		Discussion
		See Also
	5.15 Performing Matrix Operations
		Problem
		Solution
		Discussion
	5.16 Giving Descriptive Names to the Rows and Columns of a Matrix
		Problem
		Solution
		Discussion
	5.17 Selecting One Row or Column from a Matrix
		Problem
		Solution
		Discussion
	5.18 Initializing a Data Frame from Column Data
		Problem
		Solution
		Discussion
	5.19 Initializing a Data Frame from Row Data
		Problem
		Solution
		Discussion
		See Also
	5.20 Appending Rows to a Data Frame
		Problem
		Solution
		Discussion
	5.21 Selecting Data Frame Columns by Position
		Problem
		Solution
		Discussion
		See Also
	5.22 Selecting Data Frame Columns by Name
		Problem
		Solution
		Discussion
		See Also
	5.23 Changing the Names of Data Frame Columns
		Problem
		Solution
		Discussion
		See Also
	5.24 Removing NAs from a Data Frame
		Problem
		Solution
		Discussion
	5.25 Excluding Columns by Name
		Problem
		Solution
		Discussion
	5.26 Combining Two Data Frames
		Problem
		Solution
		Discussion
	5.27 Merging Data Frames by Common Column
		Problem
		Solution
		Discussion
		See Also
	5.28 Converting One Atomic Value into Another
		Problem
		Solution
		Discussion
	5.29 Converting One Structured Data Type into Another
		Problem
		Solution
		Discussion
		See Also
Chapter 6. Data Transformations
	6.1 Applying a Function to Each List Element
		Problem
		Solution
		Discussion
		See Also
	6.2 Applying a Function to Every Row of a Data Frame
		Problem
		Solution
		Discussion
	6.3 Applying a Function to Every Row of a Matrix
		Problem
		Solution
		Discussion
	6.4 Applying a Function to Every Column
		Problem
		Solution
		Discussion
		See Also
	6.5 Applying a Function to Parallel Vectors or Lists
		Problem
		Solution
		Discussion
		See Also
	6.6 Applying a Function to Groups of Data
		Problem
		Solution
		Discussion
	6.7 Creating a New Column Based on Some Condition
		Problem
		Solution
		Discussion
		See Also
Chapter 7. Strings and Dates
	7.1 Getting the Length of a String
		Problem
		Solution
		Discussion
	7.2 Concatenating Strings
		Problem
		Solution
		Discussion
	7.3 Extracting Substrings
		Problem
		Solution
		Discussion
	7.4 Splitting a String According to a Delimiter
		Problem
		Solution
		Discussion
		See Also
	7.5 Replacing Substrings
		Problem
		Solution
		Discussion
		See Also
	7.6 Generating All Pairwise Combinations of Strings
		Problem
		Solution
		Discussion
		See Also
	7.7 Getting the Current Date
		Problem
		Solution
		Discussion
		See Also
	7.8 Converting a String into a Date
		Problem
		Solution
		Discussion
	7.9 Converting a Date into a String
		Problem
		Solution
		Discussion
	7.10 Converting Year, Month, and Day into a Date
		Problem
		Solution
		Discussion
	7.11 Getting the Julian Date
		Problem
		Solution
		Discussion
	7.12 Extracting the Parts of a Date
		Problem
		Solution
		Discussion
	7.13 Creating a Sequence of Dates
		Problem
		Solution
		Discussion
Chapter 8. Probability
	8.1 Counting the Number of Combinations
		Problem
		Solution
		Discussion
		See Also
	8.2 Generating Combinations
		Problem
		Solution
		Discussion
		See Also
	8.3 Generating Random Numbers
		Problem
		Solution
		Discussion
		See Also
	8.4 Generating Reproducible Random Numbers
		Problem
		Solution
		Discussion
		See Also
	8.5 Generating a Random Sample
		Problem
		Solution
		Discussion
		See Also
	8.6 Generating Random Sequences
		Problem
		Solution
		Discussion
	8.7 Randomly Permuting a Vector
		Problem
		Solution
		Discussion
		See Also
	8.8 Calculating Probabilities for Discrete Distributions
		Problem
		Solution
		Discussion
		See Also
	8.9 Calculating Probabilities for Continuous Distributions
		Problem
		Solution
		Discussion
		See Also
	8.10 Converting Probabilities to Quantiles
		Problem
		Solution
		Discussion
		See Also
	8.11 Plotting a Density Function
		Problem
		Solution
		Discussion
Chapter 9. General Statistics
	9.1 Summarizing Your Data
		Problem
		Solution
		Discussion
		See Also
	9.2 Calculating Relative Frequencies
		Problem
		Solution
		Discussion
	9.3 Tabulating Factors and Creating Contingency Tables
		Problem
		Solution
		Discussion
		See Also
	9.4 Testing Categorical Variables for Independence
		Problem
		Solution
		Discussion
		See Also
	9.5 Calculating Quantiles (and Quartiles) of a Dataset
		Problem
		Solution
		Discussion
	9.6 Inverting a Quantile
		Problem
		Solution
		Discussion
		See Also
	9.7 Converting Data to z-Scores
		Problem
		Solution
		Discussion
	9.8 Testing the Mean of a Sample (t-Test)
		Problem
		Solution
		Discussion
		See Also
	9.9 Forming a Confidence Interval for a Mean
		Problem
		Solution
		Discussion
	9.10 Forming a Confidence Interval for a Median
		Problem
		Solution
		Discussion
		See Also
	9.11 Testing a Sample Proportion
		Problem
		Solution
		Discussion
	9.12 Forming a Confidence Interval for a Proportion
		Problem
		Solution
		Discussion
		See Also
	9.13 Testing for Normality
		Problem
		Solution
		Discussion
		See Also
	9.14 Testing for Runs
		Problem
		Solution
		Discussion
		See Also
	9.15 Comparing the Means of Two Samples
		Problem
		Solution
		Discussion
		See Also
	9.16 Comparing the Locations of Two Samples Nonparametrically
		Problem
		Solution
		Discussion
		See Also
	9.17 Testing a Correlation for Significance
		Problem
		Solution
		Discussion
		See Also
	9.18 Testing Groups for Equal Proportions
		Problem
		Solution
		Discussion
		See Also
	9.19 Performing Pairwise Comparisons Between Group Means
		Problem
		Solution
		Discussion
		See Also
	9.20 Testing Two Samples for the Same Distribution
		Problem
		Solution
		Discussion
Chapter 10. Graphics
	10.1 Creating a Scatter Plot
		Problem
		Solution
		Discussion
		See Also
	10.2 Adding a Title and Labels
		Problem
		Solution
		Discussion
	10.3 Adding (or Removing) a Grid
		Problem
		Solution
		Discussion
		See Also
	10.4 Applying a Theme to a ggplot Figure
		Problem
		Solution
		Discussion
		See Also
	10.5 Creating a Scatter Plot of Multiple Groups
		Problem
		Solution
		Discussion
		See Also
	10.6 Adding (or Removing) a Legend
		Problem
		Solution
		Discussion
	10.7 Plotting the Regression Line of a Scatter Plot
		Problem
		Solution
		Discussion
		See Also
	10.8 Plotting All Variables Against All Other Variables
		Problem
		Solution
		Discussion
	10.9 Creating One Scatter Plot for Each Group
		Problem
		Solution
		Discussion
		See Also
	10.10 Creating a Bar Chart
		Problem
		Solution
		Discussion
		See Also
	10.11 Adding Confidence Intervals to a Bar Chart
		Problem
		Solution
		Discussion
		See Also
	10.12 Coloring a Bar Chart
		Problem
		Solution
		Discussion
		See Also
	10.13 Plotting a Line from x and y Points
		Problem
		Solution
		Discussion
		See Also
	10.14 Changing the Type, Width, or Color of a Line
		Problem
		Solution
		Discussion
		See Also
	10.15 Plotting Multiple Datasets
		Problem
		Solution
		Discussion
	10.16 Adding Vertical or Horizontal Lines
		Problem
		Solution
		Discussion
		See Also
	10.17 Creating a Boxplot
		Problem
		Solution
		Discussion
		See Also
	10.18 Creating One Boxplot for Each Factor Level
		Problem
		Solution
		Discussion
		See Also
	10.19 Creating a Histogram
		Problem
		Solution
		Discussion
		See Also
	10.20 Adding a Density Estimate to a Histogram
		Problem
		Solution
		Discussion
		See Also
	10.21 Creating a Normal Quantile–Quantile Plot
		Problem
		Solution
		Discussion
		See Also
	10.22 Creating Other Quantile–Quantile Plots
		Problem
		Solution
		Discussion
	10.23 Plotting a Variable in Multiple Colors
		Problem
		Solution
		Discussion
		See Also
	10.24 Graphing a Function
		Problem
		Solution
		Discussion
		See Also
	10.25 Displaying Several Figures on One Page
		Problem
		Solution
		Discussion
		See Also
	10.26 Writing Your Plot to a File
		Problem
		Solution
		Discussion
		See Also
Chapter 11. Linear Regression and ANOVA
	11.1 Performing Simple Linear Regression
		Problem
		Solution
		Discussion
	11.2 Performing Multiple Linear Regression
		Problem
		Solution
		Discussion
		See Also
	11.3 Getting Regression Statistics
		Problem
		Solution
		Discussion
		See Also
	11.4 Understanding the Regression Summary
		Problem
		Discussion
		See Also
	11.5 Performing Linear Regression Without an Intercept
		Problem
		Solution
		Discussion
	11.6 Regressing Only Variables That Highly Correlate with Your Dependent Variable
		Problem
		Solution
		Discussion
	11.7 Performing Linear Regression with Interaction Terms
		Problem
		Solution
		Discussion
		See Also
	11.8 Selecting the Best Regression Variables
		Problem
		Solution
		Discussion
		See Also
	11.9 Regressing on a Subset of Your Data
		Problem
		Solution
		Discussion
	11.10 Using an Expression Inside a Regression Formula
		Problem
		Solution
		Discussion
		See Also
	11.11 Regressing on a Polynomial
		Problem
		Solution
		Discussion
		See Also
	11.12 Regressing on Transformed Data
		Problem
		Solution
		Discussion
		See Also
	11.13 Finding the Best Power Transformation (Box–Cox Procedure)
		Problem
		Solution
		Discussion
		See Also
	11.14 Forming Confidence Intervals for Regression Coefficients
		Problem
		Solution
		Discussion
		See Also
	11.15 Plotting Regression Residuals
		Problem
		Solution
		Discussion
		See Also
	11.16 Diagnosing a Linear Regression
		Problem
		Solution
		Discussion
		See Also
	11.17 Identifying Influential Observations
		Problem
		Solution
		Discussion
		See Also
	11.18 Testing Residuals for Autocorrelation (Durbin–Watson Test)
		Problem
		Solution
		Discussion
		See Also
	11.19 Predicting New Values
		Problem
		Solution
		Discussion
		See Also
	11.20 Forming Prediction Intervals
		Problem
		Solution
		Discussion
	11.21 Performing One-Way ANOVA
		Problem
		Solution
		Discussion
		See Also
	11.22 Creating an Interaction Plot
		Problem
		Solution
		Discussion
		See Also
	11.23 Finding Differences Between Means of Groups
		Problem
		Solution
		Discussion
		See Also
	11.24 Performing Robust ANOVA (Kruskal–Wallis Test)
		Problem
		Solution
		Discussion
	11.25 Comparing Models by Using ANOVA
		Problem
		Solution
		Discussion
Chapter 12. Useful Tricks
	12.1 Peeking at Your Data
		Problem
		Solution
		Discussion
		See Also
	12.2 Printing the Result of an Assignment
		Problem
		Solution
		Discussion
		See Also
	12.3 Summing Rows and Columns
		Problem
		Solution
		Discussion
	12.4 Printing Data in Columns
		Problem
		Solution
		Discussion
	12.5 Binning Your Data
		Problem
		Solution
		Discussion
	12.6 Finding the Position of a Particular Value
		Problem
		Solution
		Discussion
		See Also
	12.7 Selecting Every nth Element of a Vector
		Problem
		Solution
		Discussion
		See Also
	12.8 Finding Minimums or Maximums
		Problem
		Solution
		Discussion
		See Also
	12.9 Generating All Combinations of Several Variables
		Problem
		Solution
		Discussion
		See Also
	12.10 Flattening a Data Frame
		Problem
		Solution
		Discussion
		See Also
	12.11 Sorting a Data Frame
		Problem
		Solution
		Discussion
	12.12 Stripping Attributes from a Variable
		Problem
		Solution
		Discussion
		See Also
	12.13 Revealing the Structure of an Object
		Problem
		Solution
		Discussion
	12.14 Timing Your Code
		Problem
		Solution
		Discussion
	12.15 Suppressing Warnings and Error Messages
		Problem
		Solution
		Discussion
		See Also
	12.16 Taking Function Arguments from a List
		Problem
		Solution
		Discussion
		See Also
	12.17 Defining Your Own Binary Operators
		Problem
		Solution
		Discussion
		See Also
	12.18 Suppressing the Startup Message
		Problem
		Solution
		Discussion
	12.19 Getting and Setting Environment Variables
		Problem
		Solution
		Discussion
		See Also
	12.20 Use Code Sections
		Problem
		Solution
		Discussion
		See Also
	12.21 Executing R in Parallel Locally
		Problem
		Solution
		Discussion
		See Also
	12.22 Executing R in Parallel Remotely
		Problem
		Solution
		Discussion
		See Also
Chapter 13. Beyond Basic Numerics and Statistics
	13.1 Minimizing or Maximizing a Single-Parameter Function
		Problem
		Solution
		Discussion
		See Also
	13.2 Minimizing or Maximizing a Multiparameter Function
		Problem
		Solution
		Discussion
		See Also
	13.3 Calculating Eigenvalues and Eigenvectors
		Problem
		Solution
		Discussion
	13.4 Performing Principal Component Analysis
		Problem
		Solution
		Discussion
		See Also
	13.5 Performing Simple Orthogonal Regression
		Problem
		Solution
		Discussion
		See Also
	13.6 Finding Clusters in Your Data
		Problem
		Solution
		Discussion
		See Also
	13.7 Predicting a Binary-Valued Variable (Logistic Regression)
		Problem
		Solution
		Discussion
		See Also
	13.8 Bootstrapping a Statistic
		Problem
		Solution
		Discussion
		See Also
	13.9 Factor Analysis
		Problem
		Solution
		Discussion
		See Also
Chapter 14. Time Series Analysis
	14.1 Representing Time Series Data
		Problem
		Solution
		Discussion
		See Also
	14.2 Plotting Time Series Data
		Problem
		Solution
		Discussion
		See Also
	14.3 Extracting the Oldest or Newest Observations
		Problem
		Solution
		Discussion
		See Also
	14.4 Subsetting a Time Series
		Problem
		Solution
		Discussion
		See Also
	14.5 Merging Several Time Series
		Problem
		Solution
		Discussion
	14.6 Filling or Padding a Time Series
		Problem
		Solution
		Discussion
	14.7 Lagging a Time Series
		Problem
		Solution
		Discussion
	14.8 Computing Successive Differences
		Problem
		Solution
		Discussion
	14.9 Performing Calculations on Time Series
		Problem
		Solution
		Discussion
		See Also
	14.10 Computing a Moving Average
		Problem
		Solution
		Discussion
		See Also
	14.11 Applying a Function by Calendar Period
		Problem
		Solution
		Discussion
	14.12 Applying a Rolling Function
		Problem
		Solution
		Discussion
	14.13 Plotting the Autocorrelation Function
		Problem
		Solution
		Discussion
	14.14 Testing a Time Series for Autocorrelation
		Problem
		Solution
		Discussion
		See Also
	14.15 Plotting the Partial Autocorrelation Function
		Problem
		Solution
		Discussion
		See Also
	14.16 Finding Lagged Correlations Between Two Time Series
		Problem
		Solution
		Discussion
	14.17 Detrending a Time Series
		Problem
		Solution
		Discussion
	14.18 Fitting an ARIMA Model
		Problem
		Solution
		Discussion
		See Also
	14.19 Removing Insignificant ARIMA Coefficients
		Problem
		Solution
		Discussion
	14.20 Running Diagnostics on an ARIMA Model
		Problem
		Solution
		Discussion
	14.21 Making Forecasts from an ARIMA Model
		Problem
		Solution
		Discussion
	14.22 Plotting a Forecast
		Problem
		Solution
		Discussion
		See Also
	14.23 Testing for Mean Reversion
		Problem
		Solution
		Discussion
		See Also
	14.24 Smoothing a Time Series
		Problem
		Solution
		Discussion
		See Also
Chapter 15. Simple Programming
	15.1 Choosing Between Two Alternatives: if/else
		Problem
		Solution
		Discussion
		See Also
	15.2 Iterating with a Loop
		Problem
		Solution
		Discussion
		See Also
	15.3 Defining a Function
		Problem
		Solution
		Discussion
		See Also
	15.4 Creating a Local Variable
		Problem
		Solution
		Discussion
	15.5 Choosing Between Multiple Alternatives: switch
		Problem
		Solution
		Discussion
		See Also
	15.6 Defining Defaults for Function Parameters
		Problem
		Solution
		Discussion
	15.7 Signaling Errors
		Problem
		Solution
		Discussion
		See Also
	15.8 Protecting Against Errors
		Problem
		Solution
		Discussion
		See Also
	15.9 Creating an Anonymous Function
		Problem
		Solution
		Discussion
		See Also
	15.10 Creating a Collection of Reusable Functions
		Problem
		Solution
		Discussion
		See Also
	15.11 Automatically Reindenting Code
		Problem
		Solution
		Discussion
		See Also
Chapter 16. R Markdown and Publishing
	16.1 Creating a New Document
		Problem
		Solution
		Discussion
	16.2 Adding a Title, Author, or Date
		Problem
		Solution
		Discussion
		See Also
	16.3 Formatting Document Text
		Problem
		Solution
		See Also
	16.4 Inserting Document Headings
		Problem
		Solution
		Discussion
	16.5 Inserting a List
		Problem
		Solution
		Discussion
		See Also
	16.6 Showing Output from R Code
		Problem
		Solution
		Discussion
		See Also
	16.7 Controlling Which Code and Results Are Shown
		Problem
		Solution
		Discussion
		See Also
	16.8 Inserting a Plot
		Problem
		Solution
		Discussion
	16.9 Inserting a Table
		Problem
		Solution
		Discussion
		See Also
	16.10 Inserting a Table of Data
		Problem
		Solution
		Discussion
	16.11 Inserting Math Equations
		Problem
		Solution
		Discussion
	16.12 Generating HTML Output
		Problem
		Solution
		Discussion
		See Also
	16.13 Generating PDF Output
		Problem
		Solution
		Discussion
		See Also
	16.14 Generating Microsoft Word Output
		Problem
		Solution
		Discussion
		See Also
	16.15 Generating Presentation Output
		Problem
		Solution
		Discussion
		See Also
	16.16 Creating a Parameterized Report
		Problem
		Solution
		Discussion
		See Also
	16.17 Organizing Your R Markdown Workflow
		Problem
		Solution
		See Also
Index
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